Shuzhang Zhong

20 papers A* 2A 6C 1Journal 11

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	DualSpec: Accelerating Deep Research Agents via Dual-Process Action Speculation. CoRR Shuzhang Zhong, Baotong Lu, Qi Chen, Chuanjie Liu, Fan Yang, Meng Li
2026	J	`jnl`	HyPER: Bridging Exploration and Exploitation for Scalable LLM Reasoning with Hypothesis Path Expansion and Reduction. CoRR Shengxuan Qiu, Haochen Huang, Shuzhang Zhong, Pengfei Zuo, Meng Li
2025	A	`conf`	H ICCAD Zizhuo Fu, Xiaotian Guo, Wenxuan Zeng, Shuzhang Zhong, Yadong Zhang, Peiyu Chen, Runsheng Wang, Le Ye, Meng Li
2025	J	`jnl`	H2EAL: Hybrid-Bonding Architecture with Hybrid Sparse Attention for Efficient Long-Context LLM Inference. CoRR Zizhuo Fu, Xiaotian Guo, Wenxuan Zeng, Shuzhang Zhong, Yadong Zhang, Peiyu Chen, Runsheng Wang, Le Ye, Meng Li
2025	A	`conf`	HD-MoE: Hybrid and Dynamic Parallelism for Mixture-of-Expert LLMs with 3D Near-Memory Processing. ICCAD Haochen Huang, Shuzhang Zhong, Zhe Zhang, Shuangchen Li, Dimin Niu, Hongzhong Zheng, Runsheng Wang, Meng Li
2025	J	`jnl`	HD-MoE: Hybrid and Dynamic Parallelism for Mixture-of-Expert LLMs with 3D Near-Memory Processing. CoRR Haochen Huang, Shuzhang Zhong, Zhe Zhang, Shuangchen Li, Dimin Niu, Hongzhong Zheng, Runsheng Wang, Meng Li
2025	A*	`conf`	HybriMoE: Hybrid CPU-GPU Scheduling and Cache Management for Efficient MoE Inference. DAC Shuzhang Zhong, Yanfan Sun, Ling Liang, Runsheng Wang, Ru Huang, Meng Li
2025	J	`jnl`	HybriMoE: Hybrid CPU-GPU Scheduling and Cache Management for Efficient MoE Inference. CoRR Shuzhang Zhong, Yanfan Sun, Ling Liang, Runsheng Wang, Ru Huang, Meng Li
2025	A*	`conf`	SpecASR: Accelerating LLM-based Automatic Speech Recognition via Speculative Decoding. DAC Linye Wei, Shuzhang Zhong, Songqiang Xu, Runsheng Wang, Ru Huang, Meng Li
2025	J	`jnl`	SpecASR: Accelerating LLM-based Automatic Speech Recognition via Speculative Decoding. CoRR Linye Wei, Shuzhang Zhong, Songqiang Xu, Runsheng Wang, Ru Huang, Meng Li
2024	A	`conf`	AdapMoE: Adaptive Sensitivity-based Expert Gating and Management for Efficient MoE Inference. ICCAD Shuzhang Zhong, Ling Liang, Yuan Wang, Runsheng Wang, Ru Huang, Meng Li
2024	J	`jnl`	AdapMoE: Adaptive Sensitivity-based Expert Gating and Management for Efficient MoE Inference. CoRR Shuzhang Zhong, Ling Liang, Yuan Wang, Runsheng Wang, Ru Huang, Meng Li
2024	A	`conf`	PrivQuant: Communication-Efficient Private Inference with Quantized Network/Protocol Co-Optimization. ICCAD Tianshi Xu, Shuzhang Zhong, Wenxuan Zeng, Runsheng Wang, Meng Li
2024	J	`jnl`	PrivQuant: Communication-Efficient Private Inference with Quantized Network/Protocol Co-Optimization. CoRR Tianshi Xu, Shuzhang Zhong, Wenxuan Zeng, Runsheng Wang, Meng Li
2024	J	`jnl`	PrivQuant: Communication-Efficient Private Inference with Quantized Network/Protocol Co-Optimization. IACR Cryptol. ePrint Arch. Tianshi Xu, Shuzhang Zhong, Wenxuan Zeng, Runsheng Wang, Meng Li
2024	A	`conf`	ProPD: Dynamic Token Tree Pruning and Generation for LLM Parallel Decoding. ICCAD Shuzhang Zhong, Zebin Yang, Ruihao Gong, Runsheng Wang, Ru Huang, Meng Li
2024	J	`jnl`	ProPD: Dynamic Token Tree Pruning and Generation for LLM Parallel Decoding. CoRR Shuzhang Zhong, Zebin Yang, Meng Li, Ruihao Gong, Runsheng Wang, Ru Huang
2023	A	`conf`	Memory-aware Scheduling for Complex Wired Networks with Iterative Graph Optimization. ICCAD Shuzhang Zhong, Meng Li, Yun Liang, Runsheng Wang, Ru Huang
2023	J	`jnl`	Memory-aware Scheduling for Complex Wired Networks with Iterative Graph Optimization. CoRR Shuzhang Zhong, Meng Li, Yun Liang, Runsheng Wang, Ru Huang
2021	C	`conf`	dgQuEST: Accelerating Large Scale Quantum Circuit Simulation through Hybrid CPU-GPU Memory Hierarchies. NPC Tianyu Feng, Siyan Chen, Xin You, Shuzhang Zhong, Hailong Yang, Zhongzhi Luan, Depei Qian